IEEE

A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data

Abstract: The Level 1 (L1) brightness-temperature data from the Fengyun-3D (FY-3D) Microwave Radiation Imager (MWRI) provide an important data source for retrieving high wind speeds over ocean ...
GitHub

Linear Regression Practice Using Python

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...
Scientific Research Publishing

A Multiple Linear Regression Model for Inflation Rate in the UK ()

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...
Hosted on MSN

Multiple Linear Regression from Scratch in Python – Simply Explained

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Scientific Research Publishing

Prediction Model for Minimum Subsistence Allowance Standard Based on Principal Component Analysis-Based Multiple Linear Regression (PMLR) ()

Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...
Visual Studio Magazine

Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...